Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction

@article{Villena2010UsingTK,
  title={Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction},
  author={Salvador Villena and Miguel Vega and S. Derin Babacan and Rafael Molina and Aggelos K. Katsaggelos},
  journal={2010 IEEE International Conference on Image Processing},
  year={2010},
  pages={893-896}
}
This paper is devoted to the combination of image priors in Super Resolution (SR) image reconstruction. Taking into account that each combination of a given observation model and a prior model produces a different posterior distribution of the underlying High Resolution (HR) image, the use of variational posterior distribution approximation on each posterior will produce as many posterior approximations as priors we want to combine. A unique approximation is obtained here by finding the… CONTINUE READING
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